Thank you @phillies, this fixed the problem for me
I have the same error, but in my case it is due to an error creating the ImageList
src = (ImageList.from_df(df.sample(n=200), path, folder='train', suffix='.jpeg')
.split_by_rand_pct()
.label_from_df(label_delim=',') # Error!
)
data = (src.transform(get_transforms(max_warp=0.), size=64).databunch().normalize())
learn = cnn_learner(data, models.resnet34, metrics=error_rate)
...
RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'other'
the correct version works for me:
src = (ImageList.from_df(df.sample(n=200), path, folder='train', suffix='.jpeg')
.split_by_rand_pct()
.label_from_df(cols='level')
)
3 Likes
Iโm also getting this error now, when trying to create a dataBunch
np.random.seed(44)
data = ImageDataBunch.from_folder(path,
train=".",
valid_pct=0.22,
ds_tfms=get_transforms(),
size=224,
num_workers=4,
bs=32).normalize(imagenet_stats)
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in _check_kwargs(ds, tfms, **kwargs)
593 x = ds[0]
--> 594 try: x.apply_tfms(tfms, **kwargs)
595 except Exception as e:
10 frames
RuntimeError: Expected object of scalar type Float but got scalar type Double for argument #3 'mat2' in call to _th_addmm_out
During handling of the above exception, another exception occurred:
Exception Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/fastai/data_block.py in _check_kwargs(ds, tfms, **kwargs)
594 try: x.apply_tfms(tfms, **kwargs)
595 except Exception as e:
--> 596 raise Exception(f"It's not possible to apply those transforms to your dataset:\n {e}")
597
598 class LabelList(Dataset):
Exception: It's not possible to apply those transforms to your dataset:
Expected object of scalar type Float but got scalar type Double for argument #3 'mat2' in call to _th_addmm_out
Since my error is at the ImageDataBunch call, I donโt think the previous answers have solved for this. Itโs weird, this same code was working fine a week ago.
1 Like
You need to upgrade your fastai to the latest version. This comes from a breaking change in PyTorch 1.5 and it was fixed recently.
1 Like